TensorFlow Pocket Primer:
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various "core" features of TensorFlow, with code samples that...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Dulles, VA
Mercury Learning and Information
[2019]
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| Series: | Pocket Primer
|
| Subjects: | |
| Online Access: | DE-1046 DE-1043 DE-858 DE-859 DE-860 DE-739 Volltext |
| Summary: | As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various "core" features of TensorFlow, with code samples that cover deep learning and TensorFlow basics. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by writing to info@merclearning.com. Features: Uses Python for code samplesCovers TensorFlow APIs and DatasetsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher) |
| Item Description: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Mrz 2024) |
| Physical Description: | 1 Online-Ressource (152 Seiten) |
| ISBN: | 9781683923664 |
| DOI: | 10.1515/9781683923664 |
Staff View
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| spelling | Campesato, Oswald Verfasser aut TensorFlow Pocket Primer Oswald Campesato Dulles, VA Mercury Learning and Information [2019] © 2019 1 Online-Ressource (152 Seiten) txt rdacontent c rdamedia cr rdacarrier Pocket Primer Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Mrz 2024) As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various "core" features of TensorFlow, with code samples that cover deep learning and TensorFlow basics. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by writing to info@merclearning.com. Features: Uses Python for code samplesCovers TensorFlow APIs and DatasetsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher) In English Programming COMPUTERS / Programming Languages / Python bisacsh Erscheint auch als Druck-Ausgabe 9781683923640 https://doi.org/10.1515/9781683923664 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Campesato, Oswald TensorFlow Pocket Primer Programming COMPUTERS / Programming Languages / Python bisacsh |
| title | TensorFlow Pocket Primer |
| title_auth | TensorFlow Pocket Primer |
| title_exact_search | TensorFlow Pocket Primer |
| title_exact_search_txtP | TensorFlow Pocket Primer |
| title_full | TensorFlow Pocket Primer Oswald Campesato |
| title_fullStr | TensorFlow Pocket Primer Oswald Campesato |
| title_full_unstemmed | TensorFlow Pocket Primer Oswald Campesato |
| title_short | TensorFlow Pocket Primer |
| title_sort | tensorflow pocket primer |
| topic | Programming COMPUTERS / Programming Languages / Python bisacsh |
| topic_facet | Programming COMPUTERS / Programming Languages / Python |
| url | https://doi.org/10.1515/9781683923664 |
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